Daniel P. Heyman
Impact in
- Management Information Systems top 0.1%
- Advanced Queuing Theory Analysis
- Supply Chain and Inventory Management
- Computer Networks and Communications top 0.5%
- Network Traffic and Congestion Control
- Wireless Communication Networks Research
Papers in
-
- Network Traffic and Congestion Control 28
- Wireless Communication Networks Research 12
-
- Advanced Queuing Theory Analysis 36
- Co-authors
- Matthew J. Sobel (2 shared papers)T. V. Lakshman (13 shared papers)Winfried K. Grassmann (4 shared papers)A. Tabatabai (4 shared papers)Michael Taksar (1 shared paper)Ward Whitt (3 shared papers)David M. Lucantoni (2 shared papers)Arnold L. Neidhardt (3 shared papers)
- Journals
- Journal of Applied Probability (12 papers)Operations Research (11 papers)IEEE/ACM Transactions on Networking (4 papers)Management Science (3 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Daniel P. Heyman
92 papers receiving 3.9k citations
Daniel P. Heyman's Hit Papers
Peers
Comparison fields: 5 of 112
- Management Information Systems 2.3k
- Computer Networks and Communications 2.0k
- Management Science and Operations Research 841
- Statistics and Probability 441
- Industrial and Manufacturing Engineering 318
Countries citing papers authored by Daniel P. Heyman
This map shows the geographic impact of Daniel P. Heyman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel P. Heyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Heyman more than expected).
Fields of papers citing papers by Daniel P. Heyman
This network shows the impact of papers produced by Daniel P. Heyman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel P. Heyman. The network helps show where Daniel P. Heyman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Heyman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stochastic models in operations research Hit paper breakdown → | 1982 | 844 |
| 2 | 1992 | 354 | |
| 3 | 1968 | 301 | |
| 4 | 1985 | 289 | |
| 5 | 1995 | 196 | |
| 6 | 1996 | 191 | |
| 7 | 1996 | 169 | |
| 8 | 1977 | 149 | |
| 9 | 1977 | 129 | |
| 10 | 2003 | 104 | |
| 11 | 1997 | 99 | |
| 12 | 1997 | 89 | |
| 13 | 1990 | 83 | |
| 14 | 1980 | 80 | |
| 15 | 1990 | 77 | |
| 16 | 1973 | 73 | |
| 17 | 1977 | 65 | |
| 18 | 1984 | 57 | |
| 19 | 1984 | 49 | |
| 20 | 1987 | 44 |
About Daniel P. Heyman
Daniel P. Heyman is a scholar working on Computer Networks and Communications, Management Information Systems, Electrical and Electronic Engineering, Statistics and Probability and Management Science and Operations Research, having authored 94 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (36 papers), Network Traffic and Congestion Control (28 papers), Advanced Wireless Network Optimization (17 papers), Markov Chains and Monte Carlo Methods (13 papers), Random Matrices and Applications (13 papers), Wireless Communication Networks Research (12 papers), Probability and Risk Models (10 papers) and Image and Video Quality Assessment (8 papers). The work is most often cited by research in Management Information Systems (2.3k citations), Computer Networks and Communications (2.0k citations), Management Science and Operations Research (841 citations), Statistics and Probability (441 citations) and Industrial and Manufacturing Engineering (318 citations). Daniel P. Heyman has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Matthew J. Sobel, T. V. Lakshman, Winfried K. Grassmann, A. Tabatabai, Michael Taksar, Ward Whitt, David M. Lucantoni, Arnold L. Neidhardt, Shaler Stidham and A. Elwalid. Their work appears in journals such as Journal of Applied Probability, Operations Research, IEEE/ACM Transactions on Networking, Management Science and IEEE Transactions on Circuits and Systems for Video Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.